Image Processing For Identification of Breast Cancer: A Literature Survey

Authors

  • A. Arokiyamary Delphina Research Scholar, Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • M. Kamarasan Assistant Professor, Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • S. Sathiamoorthy Assistant Professor, Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajes-2018.7.2.2279

Keywords:

Breast Cancer, Image Processing, Segmentation, Pre-Processing, Mammogram, Machine Learning

Abstract

Breast cancer has become the leading cause of cancer deaths among women. To decrease the related mortality, disease must be treated as early as possible, but it is hard to detect and diagnose tumors at an early stage. Manual attempt have proven to be time consuming and inefficient in many cases. Hence there is a need for efficient methods that diagnoses the cancerous cell without human involvement with high accuracy. Mammography is a special case of CT scan who adopts X-ray method & uses the high resolution film so that it can detect well the tumors in the breast. This paper reviews on the detection of the breast cancer by image processing techniques.

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Published

28-08-2018

How to Cite

Arokiyamary Delphina, A., Kamarasan, M., & S. Sathiamoorthy. (2018). Image Processing For Identification of Breast Cancer: A Literature Survey. Asian Journal of Electrical Sciences, 7(2), 28–37. https://doi.org/10.51983/ajes-2018.7.2.2279